nda-review

nda-review is a skill for Claude Code from anthropics/claude-for-legal. It costs 61 tokens per session (4,755 once invoked), scanned A, original, Apache-2.0.

A fast review process for incoming NDAs, which are contracts meant to protect confidential information shared between parties. It sorts them into GREEN, YELLOW, or RED categories for sales and business-development teams.

In plain words
What is it for?
Use it to triage an NDA, identify whether it falls inside the team's approved handling rules, and flag documents that need legal review.
Why use it?
It lets teams handle routine NDAs themselves and sends only contracts needing legal attention to lawyers.

Skill for Claude Code ✓ vendor

Written for Claude Code: user-invocable in frontmatter. Also seen: reads .claude/ paths; mentions CLAUDE.md.

Part of the commercial-legal plugin — 9 skills, 3 agents shipped together

Good fit Use it to triage an NDA, identify whether it falls inside the team's approved handling rules, and flag documents that need legal review.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/anthropics/claude-for-legal/nda-review
About the project

Claude for Legal is a collection of AI agents, skills, and data connectors for legal work such as commercial, privacy, employment, litigation, regulatory, and intellectual-property matters. Lawyers and legal teams use it through Claude Cowork, Claude Code, or the Claude Managed Agents API, with attorney review required for every output. The catalogue entries are its workflow plugins, skills, agents, and connectors.

anthropics/claude-for-legal · 9,433 stars · on GitHub

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add anthropics/claude-for-legal --skill nda-review
Clone the repo
git clone --depth 1 https://github.com/anthropics/claude-for-legal

Made for: Claude Code.

Or install commercial-legal, the plugin that ships this one along with the rest of its 9 skills, 3 agents.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for nda-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/anthropics/claude-for-legal/nda-review/github.svg)](https://agentmods.dev/skills/anthropics/claude-for-legal/nda-review)
Your own site
<a href="https://agentmods.dev/skills/anthropics/claude-for-legal/nda-review"><img src="https://agentmods.dev/badge/skills/anthropics/claude-for-legal/nda-review/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for nda-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/anthropics/claude-for-legal/nda-review"><img src="https://agentmods.dev/badge/skills/anthropics/claude-for-legal/nda-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 61 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,755 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 13 May 2026
  • Snyk pass 13 May 2026
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 3 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high System Prompt Leakage · line 183
    Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.
    Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
  • medium Rogue Agent · line 14
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
  • medium Rogue Agent · line 272
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00061 $0.04755
Opus 5 $0.00030 $0.02377
Sonnet 5 $0.00012 $0.00951
Haiku 4.5 $0.00006 $0.00475

Measured 13d ago against content hash 9e5f5b793118, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

nda-review scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

commercial-legal/skills/nda-review/SKILL.md · 313 lines

How it starts

The opening of the file, as written. The whole thing — 313 lines — stays where its author put it; the contents beside it link to each section on GitHub.

NDA Review

Matter context

Matter context. Check ## Matter workspaces in the practice-level CLAUDE.md. If Enabled is (the default for in-house users), skip the rest of this paragraph — skills use practice-level context and the matter machinery is invisible. If enabled and there is no active matter, ask: "Which matter is this for? Run /commercial-legal:matter-workspace switch <slug> or say practice-level." Load the active matter's matter.md for matter-specific context and overrides. Write outputs to the matter folder at ~/.claude/plugins/config/claude-for-legal/commercial-legal/matters/<matter-slug>/. Never read another matter's files unless Cross-matter context is on.


Destination check

Before producing output, check where it's going. If the user has named a destination (a channel, a distribution list, a counterparty, "everyone"), ask whether it's inside the privilege circle. Public channels, company-wide lists, counterparty/opposing counsel, vendors, and clients (for work product) waive the protection. When the destination looks outside the circle, flag it and offer (a) the privileged version for legal only, (b) a sanitized version for the broader channel, or (c) both — don't silently apply a privileged header and then help paste it somewhere the header won't protect it. See the canonical ## Shared guardrails → Destination check in this plugin's CLAUDE.md.

Purpose

Most inbound NDAs are fine. A few have landmines. This skill sorts them in under a minute so legal only reads the ones that matter.

The goal: a GREEN NDA should need nothing more than a signature. A YELLOW needs a lawyer's eyes on one or two specific things. A RED stops before anyone wastes time.

Load the playbook first

Which side? Before applying the playbook, determine which side the company is on for this NDA. Usually obvious from the context: if the counterparty is a vendor or partner evaluating your product, you're sales-side; if you're evaluating theirs, you're purchasing-side. Mutual NDAs still have a side — whose paper is it, and which direction is the evaluation running. If it's not obvious, ask. Read the matching playbook section (### Sales-side playbook or ### Purchasing-side playbook) from the config. Note which side in the output so the reviewer knows which playbook was applied. If the matching side is [Not configured], stop and tell the user to run /commercial-legal:cold-start-interview --side <side> before this triage can proceed.

Read the full file on GitHub · 313 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 13d ago First seen · 313 lines · 61 tokens per session scan A 9e5f5b793118

Subscribe to this mod's changes

nda-review is a skill published in the GitHub repository anthropics/claude-for-legal (9,433 stars, last pushed 21d ago), licensed Apache-2.0. It adds 61 tokens to every session and 4,755 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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